class_docstr: Mesh implemented using explicit device placement.
docstr: Import a tf.Tensor, producing a LaidOutTensor.
  
  Args:
    x: a Tensor
    tf_x: a tf.Tensor
  Returns:
    a LaidOutTensor
docstr_tok: ["Import","a","tf.Tensor",",","producing","a","LaidOutTensor",".","Args",":","x",":","a","Tensor","tf_x",":","a","tf.Tensor","Returns",":","a","LaidOutTensor"]
code: def import_tf_tensor(self, x, tf_x):
      """Import a tf.Tensor, producing a LaidOutTensor.
  
      Args:
        x: a Tensor
        tf_x: a tf.Tensor
      Returns:
        a LaidOutTensor
      """
      return self.LaidOutTensor(self.make_slices(tf_x, x.shape))
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import functools
  import os
  import random
  from mesh_tensorflow import ops_with_redefined_builtins
  from six.moves import xrange
  import tensorflow.compat.v1
label_desc: Use image node_id 13 for calling the PlacementMeshImpl obj's underlying member method code with example usage: obj.import_tf_tensor(x, tf_x) and returns: self